**Considering candidates in San Mateo, Santa Barbara, or US-based remote**

We are seeking a Software Engineer (Big Data) to join our Enterprise Data Engineering team. As a Senior Data Engineer, you will be working on our Data Platform: coding in Python and SQL, using cutting-edge big data technologies such as Snowflake, Airflow, and DBT to build out data pipelines, data lakes, full-stack applications, and analytics tools that scale on the cloud to empower data scientists to gather insights from billions of data points to improve health outcomes.

We have offices in San Mateo and Santa Barbara, but this position is open to any US-based remote employee. Our data engineering team is highly distributed across the US, and we embrace remote work.

RESPONSIBILITIES

• Ingest data from digital health sources, including fitness trackers, other wearable devices, electronic medical records, survey data, voice transcripts, etc. 
• Design scalable, high-performance solutions that continuously handle terabytes of data and enable data scientists to analyze data at scale.
• Address performance and scalability concerns in a fast-growing data pipeline
• Work with internal stakeholders to understand their needs. Develop and deliver products that meet these needs in a timely manner.
• Implement best practices and provide feedback to team members through peer reviews.
• Protect our participants by designing and developing privacy solutions in compliance with regulatory requirements such as CCPA and GDPR.

QUALIFICATIONS

Minimum Qualifications:

• 5+ years experience in data engineering or full-stack engineering with strong data skills
• Proficiency with at least one interpreted, object-oriented programming language (Python, Ruby, Java, etc.)
• Experience with SQL databases (e.g., Postgres, MySQL, Oracle) and Distributed Datastores (e.g., S3)
• Strong written and verbal communication
• Work effectively in a collaborative and cross-functional team environment
• Quality-focus, ensuring proper test coverage for all the code you write
• Take personal responsibility for driving initiatives forward and continually improving the product

Preferred Qualifications:

• Experience with ETL/ELT
• Experience building data warehouses (e.g., Snowflake, Redshift, DBT etc.)
• Proficiency in building data pipelines with big data processing technologies (Spark, Hadoop, Kafka, etc.)
• Experience with Apache Airflow
• Experience with HashiCorp Terraform

ABOUT EVIDATION

Evidation creates new ways to measure and improve health in everyday life. Built upon a foundation of user privacy and control over permissioned health data, Evidation’s consumer platform is trusted by millions of individuals—generating data with unprecedented speed, scale, and rigor. We partner with leading healthcare companies to understand health and disease outside the clinic walls. Evidation is working to bring people individualized, proactive, and accessible healthcare—faster. Founded in 2012, Evidation is headquartered in California with employees working from around the globe.

OUR VALUES

• Put individuals first
• Challenge each other and state your good intent
• Go fast while maintaining quality and integrity
• Work to win together

OUR BENEFITS & PERKS

• Competitive salary + performance bonus + equity
• Medical, dental, and vision benefits with generous company contribution
• Company-provided life and disability insurance
• 401(k) with company contribution
• Wellness and wearable device reimbursements, mental health benefits, wellness programs
• Employee advisory committee focused around diversity, equity, inclusion, and belongingness
• Distributed teams and flexible work hours
• Take time when you need it: 13 paid company holidays + flexible time off
• Paid parental leave
• Mobile phone, home internet, and home office furniture reimbursements
• Apple laptop and your choice of monitor + noise cancelling headphones
• LinkedIn Learning and other professional growth opportunities

EVIDATION HEALTH VALUES DIVERSITY AND IS COMMITTED TO EQUAL OPPORTUNITY FOR ALL PERSONS WITHOUT REGARD TO RACE, COLOR, CREED, RELIGION, MARITAL STATUS, AGE, NATIONAL ORIGIN OR ANCESTRY, POLITICAL ACTIVITY OR AFFILIATION, PHYSICAL OR MENTAL DISABILITY, MEDICAL CONDITION INCLUDING GENETIC CHARACTERISTICS, MARITAL STATUS, SEXUAL ORIENTATION, GENDER IDENTITY, SEX OR GENDER.

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